Canh Nguyen

407 citations
7 papers · 266 indexed · 1 hit paper · h-index 5
Topics
Remote Sensing in Agriculture (5 papers)Smart Agriculture and AI (3 papers)Spectroscopy and Chemometric Analyses (3 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsRemote Sensing

In The Last Decade

Canh Nguyen

7 papers receiving 259 citations

Hit Papers

Early Detection of Plant Viral Disease Using Hyperspectra...2021202620222024202150100150

Peers

Canh Nguyen
Comparison fields: 5 of 52
  • Plant Science 183
  • Ecology 123
  • Analytical Chemistry 112
  • Environmental Engineering 29
  • Atmospheric Science 17
Replace Stien Mertens with:
Stien Mertens Belgium
Alexander Wendel Australia
Hongbao Ye China
Kamlesh Golhani Malaysia
Kelvin Acebron Germany
Piyush Pandey United States
Kyosuke Yamamoto Japan
Ziyuan Hao China
Loukas Athanasakos Greece
M. Knapič Slovenia
Canh Nguyen relative to Stien Mertens Belgium Stien Mertens's profile →
Citations per field
00.5×1.5×
Stien Mertens · 1×
Citations per year

Countries citing papers authored by Canh Nguyen

Since Specialization
Citations

This map shows the geographic impact of Canh Nguyen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Canh Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Canh Nguyen more than expected).

Fields of papers citing papers by Canh Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Canh Nguyen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Canh Nguyen. The network helps show where Canh Nguyen may publish in the future.

Co-authorship network of co-authors of Canh Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Canh Nguyen. A scholar is included among the top collaborators of Canh Nguyen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Canh Nguyen. Canh Nguyen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 35
3 26
4 3
5
Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learningbreakdown →
180
6 7
7 13

About Canh Nguyen

Canh Nguyen is a scholar working on Analytical Chemistry, Ecology and Environmental Engineering, having authored 7 papers that have together received 266 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (5 papers), Smart Agriculture and AI (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). The work is most often cited by research in Analytical Chemistry (112 citations), Plant Science (183 citations) and Ecology (123 citations). Canh Nguyen has collaborated with scholars based in United States, Vietnam and Argentina. Frequent co-authors include Vasit Sagan, Sourav Bhadra, Maitiniyazi Maimaitijiang, Misha T. Kwasniewski, Matthew Maimaitiyiming, Stephen P. Moose, Anh H. Vo, Todd C. Mockler, Andrea L. Eveland and Nadia Shakoor. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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